Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric, Ocimum, and Withania somnifera study.

Herbal medicines are popular natural medicines that have been used for decades. The use of alternative medicines continues to expand rapidly across the world. The World Health Organization suggests that quality assessment of natural medicines is essential for any therapeutic or health care applications, as their therapeutic potential varies between different geographic origins, plant species, and varieties. Classification of herbal medicines based on a limited number of secondary metabolites is not an ideal approach. Their quality should be considered based on a complete metabolic profile, as their pharmacological activity is not due to a few specific secondary metabolites but rather a larger group of bioactive compounds. A holistic and integrative approach using rapid and nondestructive analytical strategies for the screening of herbal medicines is required for robust characterization. In this study, a rapid and effective quality assessment system for geographical traceability, species, and variety-specific authenticity of the widely used natural medicines turmeric, Ocimum, and Withania somnifera was investigated using Fourier transform near-infrared (FT-NIR) spectroscopy-based metabolic fingerprinting. Four different geographical origins of turmeric, five different Ocimum species, and three different varieties of roots and leaves of Withania somnifera were studied with the aid of machine learning approaches. Extremely good discrimination (R2 > 0.98, Q2 > 0.97, and accuracy = 1.0) with sensitivity and specificity of 100% was achieved using this metabolic fingerprinting strategy. Our study demonstrated that FT-NIR-based rapid metabolic fingerprinting can be used as a robust analytical method to authenticate several important medicinal herbs.

Towards the development of phytoextract based healthy ageing cognitive booster formulation, explored through Caenorhabditis elegans model.

The positive effect of herbal supplements on aging and age-related disorders has led to the evolution of natural curatives for remedial neurodegenerative diseases in humans. The advancement in aging is exceedingly linked to oxidative stress. Enhanced oxidative stress interrupts health of humans in various ways, necessitating to find stress alleviating herbal resources. Currently, minimal scientifically validated health and cognitive booster resources are available. Therefore, we explored the impact of plant extracts in different combinations on oxidative stress, life span and cognition using the multicellular transgenic humanized C. elegans, and further validated the same in Mus musculus, besides testing their safety and toxicity. In our investigations, the final product-the HACBF (healthy ageing cognitive booster formulation) thus developed was found to reduce major aging biomarkers like lipofuscin, protein carbonyl, lipid levels and enhanced activity of antioxidant enzymes. Further confirmation was done using transgenic worms and RT-PCR. The cognitive boosting activities analyzed in C. elegans and M. musculus model system were found to be at par with donepezil and L-dopa, the two drugs which are commonly used to treat Parkinson's and Alzheimer's diseases. In the transgenic C. elegans model system, the HACBF exhibited reduced aggregation of misfolded disease proteins α-synuclein and increased the health of nicotinic acetylcholine receptor, levels of Acetylcholine and Dopamine contents respectively, the major neurotransmitters responsible for memory, language, learning behavior and movement. Molecular studies clearly indicate that HACBF upregulated major genes responsible for healthy aging and cognitive booster activities in C. elegans and as well as in M. musculus. As such, the present herbal product thus developed may be quite useful for healthy aging and cognitive boosting activities, and more so during this covid-19 pandemic. Supplementary Information: The online version contains supplementary material available at 10.1007/s13237-022-00407-1.

Mapping of epidemiological determinants of confirmed COVID-19 cases among health-care workers of municipal corporation of Delhi: A roadmap to risk reduction.

BACKGROUND: Coronavirus disease (COVID-19) is a respiratory illness caused by a novel coronavirus which can spread from person to person. Health-care workers of any medical college and hospital are at more risk to the coronavirus disease (COVID-19) than the general population. The aim of this study was to assess the epidemiological profile of confirmed COVID-19 cases among health-care workers of Municipal Corporation of Delhi. METHODOLOGY: A cross-sectional study was planned among 422 health-care workers of Municipal Corporation of Delhi. The questionnaire consisted of questions about sociodemographic data, personal history, and clinical profile such as signs and symptoms and their duration. Data were analyzed by SPSS software version 21.0, and, Chi-square test and logistic regression were used. RESULTS: Mean age of study subjects was 41.1 ± 9.8 years, and males (57.6%) were more as compared to (42.4%) females. Out of total participants, about one-third (36.4%) of study participants were asymptomatic. Study participants with higher education status adjusted odds ratio (AOR) 2.43 (1.25-4.70), living in overcrowding AOR 3.74 (1.86-7.54), and having some comorbidity AOR 2.78 (1.57-4.92) were at higher risk of being symptomatic. CONCLUSION: This study concludes that about one-third of study participants were asymptomatic. Factors such as higher education status, living in overcrowding, presence of some comorbidity, and smokeless tobacco consumption were significantly associated with symptomatic COVID-19 cases. Hence, there is a need to identify these risk factors at an early stage in order to design prevention strategies for better control of such pandemics in future.

Epidemiological Pattern and Trend Analysis of Animal Bite Cases of Anti-Rabies Clinic of Tertiary Care Hospital of Delhi.

Background: Animal bites to humans are a public health problem. Rabies is caused by rhabdovirus which is present in the saliva of rabid animals like dogs, cats, monkeys, and wild animals like fox and jackals. Objective: To find the epidemiological pattern and trend analysis of animal bite cases registered in Anti-rabies clinic of tertiary care hospital of Delhi. Materials and Methods: A retrospective cross-sectional study was planned in Anti-rabies clinic of Hindu Rao Hospital, Delhi, and data from January 2010 to December 2018 was taken. Data were analyzed by SPSS software version 21.0. Results: After interpretation of data from 2010 to 2018, it was found that maximum number of animal bite cases belonged to category 3 (91.0%) and majority (93.6%) were due to dog bite. On analysis of year and season wise trend, it was found that the frequency of cases showed a rising trend from the year 2010, with highest number of cases in the year 2014, while animal bite cases were maximum with arrival of spring season (month of April). Conclusion: This study concludes that animal bite cases are rising over the years and dog bites are most common animal bite cases in Delhi. Most of the animal bite cases occurred during spring season followed by autumn season of the year. So, there is dire need of strengthening the preventive measures for controlling animal bites in the study area.

Prevalence of anaemia among school going adolescent girls attending Test, Treat and Talk (T-3) camp under Anaemia Mukt Bharat in Delhi.

BACKGROUND: Adolescent period is signalized by marked physical activity and rapid growth spurt; therefore, they need additional nutritional supplements and are at utmost risk of developing nutritional anaemia. Anaemia play a major role in affecting the adolescents especially girls. On September 2019, Ministry of Health and Family welfare, Govt. of India directed to all state and district health authority to conduct Test, Treat and Talk (T-3) anaemia camps for celebration of nutrition month (Poshan Maah) in all government schools and colleges. The present study aimed to assess prevalence of anaemia and factors associated with it among school going adolescent girls attending T-3 camp in Delhi. METHODS: A cross-sectional study was conducted among 203 adolescent girls in government girls' school in central district of Delhi. Hb estimation was done by HemoCue 201 and data regarding socio-demographic details, deworming, dietary preferences were collected. Clinical examination and anthropometric measurements were done by resident doctors. Data was analysed using STATA vs. 13. RESULTS: The prevalence of anaemia was found to be 59% with mean (±SD) Hb of 11.3 gm/dl (±1.55) among 203 participants. The majority (48%, n = 119) of anaemic girls had mild degree of anaemia. Among 203 girls, 65% participants were of age 14-15 years with mean (±SD) age of 14.6 years (±1.18). There was a significant relationship between anaemia and diet, deworming status, and BMI (P < 0.05). CONCLUSION: The study revealed that anaemia was highly prevalent among adolescent girls. Among anaemic girls, majority had mild anaemia. Factors like vegetarian diet, underweight, deworming and presence of pallor were found to be associated with anaemia. There is need to conduct T-3 camps at regular interval in all schools to curb the problem of adolescent anaemia.

Internet Addiction, Sleep Quality and Depressive Symptoms Amongst Medical Students in Delhi, India.

Today, the internet has become an important element in people's lives, and owing to internet access becoming widespread, it has resulted in internet addiction. It is a major concern amongst medical students aiming to develop into health professionals. The implications of this addiction as well as its association with sleep and depression affects their studies, impacts their career goals and has detrimental consequences for society as a whole. The objectives of this study were to assess the proportion of medical undergraduate students and interns with internet addiction (IA), depressive symptoms and poor sleep quality and to study the association of IA with sleep quality and depressive symptoms. A cross-sectional questionnaire-based study was carried out in a medical college in Delhi. Universal sample consisting of all the medical students from first to final year (n = 185) and interns (n = 37) enrolled during the time of the study were included. Sleep quality, internet addiction and depressive symptoms in these students was assessed using Pittsburgh Sleep Quality Index (PSQI) Young's Internet Addiction Test (YIAT) and Patient Health Questionnaire-9 (PHQ) respectively. The average YIAT score was 33.16 ± 15.68. Overall 18%, 59.9%, 46.8% of students scored above validated cutoff scores for internet addiction, poor sleep quality and depression respectively. Prevalence of IA among males and females were 20.4% and 12.9% respectively. Significant correlations were found between potential IA, sleep quality and depression (p < 0.001). The study concluded a strong correlation between IA, disturbed sleep quality and depression. Identifying medical students with potential IA is important because this addiction often coexists with other psychological problems. Thus timely remedial actions and tailored interventions are required to combat IA among medical students.

Trace element accumulation potential in lemongrass varieties (Cymbopogon species) and prediction through regression model equations followed by path analysis: a field study.

A field investigation was conducted to monitor the trace element accumulation pattern and potential in lemongrass varieties when cultivated in varying concentrations of tannery sludge contaminated soils. Regression model equations were developed to predict the trace elements concentration in lemongrass plant parts. Model efficiency values ranged between 0.53 and 0.85 for roots and 0.50 to 0.77 for shoots. R2 for all the equations was high and ranged between 0.52 and 0.95 for roots and 0.50 to 0.91 for shoots. Path analysis coefficients revealed the status of interdependence between soil properties and heavy metal concentrations in plant tissues and their translocation pattern in the same. TF > 1 for Ni and Pb was recorded in all test varieties at different tannery sludge concentrations in soil and for Cd in Suwarna variety grown in sole TS. BAF>1 and BAC>1 for Ni and Pb was observed for all test varieties. BCF>1 for Cr was found in Suwarna variety at sole tannery sludge. It can be concluded that lemongrass can accumulate lead and nickel in its harvestable plant parts. Hence, it can act as a suitable phytoextractor for the same metals. Range of essential oil content (percentage) varied in all test varieties i.e. Shikhar (1.04-1.29), Krishna (0.94-1.05), Suwarna (0.82-0.95) and Chirharit (0.87-1.06) at different tannery sludge concentrations. Moreover, heavy metal content in the essential oil of all test varieties was found to be within the permissible limits, hence cultivation of lemongrass can be recommended at metal contaminated sites with minimum risk of food chain contamination.

Suitability of aromatic plants for phytoremediation of heavy metal contaminated areas: a review.

This review briefly elucidates the research undertaken and benefits of using aromatic plants for remediation of heavy metal polluted sites. A sustainable approach to mitigate heavy metal contamination of environment is need of the hour. Phytoremediation has emerged to be one of the most preferable choices for combating the metal pollution problem. Aromatic plants can be used for remediation of contaminated sites as they are non-food crops thus minimizing the risk of food chain contamination. Most promising aromatic plants for phytoremediation of heavy metal contaminated sites have been identified from families - Poaceae, Lamiaceae, Asteraceae, and Geraniaceae. They act as potential phytostabilisers, hyper accumulators, bio-monitors, and facultative metallophytes. Being high value economic crops, monetary benefits can be obtained by growing them in tainted areas instead of food crops. It has been observed that heavy metal stress enhances the essential oil percentage of certain aromatic crops. Research conducted on some major aromatic plants in this context has been highlighted in the present review which suggests that aromatic plants hold a great potential for phytoremediation. It has been reported that essential oil from aromatic crops is not contaminated by heavy metals significantly. Thus, aromatic plants are emerging as an ideal candidate for phytoremediation. Highlights • Aromatic plants hold a great potential for phytoremediation of heavy metal contaminated sites. • Being high value economic crops, monetary benefits can be obtained by growing them in contaminated areas instead of food crops. • Research done on some major aromatic plants in this context has been highlighted in the present review.

Screening of most potential candidate among different lemongrass varieties for phytoremediation of tannery sludge contaminated sites.

One of the most sustainable approaches for reclamation of heavy metal contaminated sites is by phytoremediation. Cultivation of aromatic plants in such areas has been proposed by a number of researchers as it fulfills the purpose of phytoremediation alongside monetary benefits. A pot experiment was conducted to screen out most potential candidate among different lemongrass varieties which can be recommended to be grown in tannery effluent contaminated sites. Four consecutive harvests of nine varieties of lemongrass were tested. Translocation factor (TF) < 1 for chromium and cadmium whereas >1 for nickel and lead was observed in all varieties. Bioconcentration factor (BF) > 1 was observed for chromium in Suwarna variety. Photosynthetic pigments, growth parameters, antioxidants, oil content, and yield were highly correlated. Neighbor joining (NJ) cluster analysis was performed to predict the relationship between varieties according to their chromium uptake potential. Endurance of varieties towards metal stress was assessed using chlorophyll a fluorescence kinetics. Maximum reduction potential of chromium (70.07%), lead (85.29%), and cadmium (77.36%) was observed in Suwarna variety. Our study indicated that lemongrass acts as potential phytoextractor for nickel and lead. Suwarna variety appeared to be the best candidate among all the varieties tested owing to its higher biomass and metal uptake potential.

Updated BG Prasad socioeconomic classification, 2014: a commentary.

Modified BG Prasad socioeconomic scale is widely used to determine the socioeconomic status of study subjects in health studies in India. It is an income-based scale and, therefore, has to be constantly updated to take inflation and depreciation of rupee into account. The Consumer Price Index (CPI) for industrial workers (IW) is used to calculate updated income categories for January 2014. Details of the calculations involved will enable young researchers to calculate specific income categories for their research work. State-specific CPI values are also available on the Department of Labour website and should be used to determine more accurate income categories for the study area.

Hepatoprotective Effect of A Polyherbal Extract Containing Andrographis Paniculata, Tinospora Cordifolia and Solanum Nigrum Against Paracetamol Induced Hepatotoxicity.

BACKGROUND: Traditionally, a number of medicinal plants are used to treat various types of hepatic disorders but few of them were pharmacologically evaluated for their safety and efficacy. The combination of Andrographis paniculata (Kalmegha), Tinospora cordifolia (Guduchi), and Solanum nigrum (Kakmachi) was traditionally used in Indian System of Medicine (Ayurveda) for the treatment of various liver-related disorders. OBJECTIVE: In the present study, an attempt was made to substantiate the ethnopharmacological use of a traditional formulation in hepatoprotection against paracetamol-induced hepatotoxicity. SUBJECTS AND METHODS: Swiss albino mice (weight 20-25 g) were used for this study. Intraperitoneal injection of paracetamol (500 mg/kg body weight) was used to induce hepatotoxicity. Serum levels of alanine transaminase, aspartate aminotransferase, bilirubin, alkaline phosphatase, were used as indices of liver injury. In addition total cholesterol, triglyceride, low-density lipoprotein, high-density lipoprotein and creatinine were also assayed using the standard procedure. RESULTS: Among the two different doses, pretreatment with Polyherbal extract at 500 mg/kg body weight exhibited a significant (P < 0.05) hepatoprotective activity as compared to paracetamol group. CONCLUSION: The polyherbal extract exhibits a significant hepatoprotective effect in vivo. The study contributes to its use in traditional Ayurveda system for the management of liver diseases. SUMMARY: Traditionally, a number of medicinal plants are used to treat various types of liver disorders but few of them were pharmacologically evaluated for their safety and efficacy. Combination of Andrographis paniculata (Kalmegha), Tinospora cordifolia (Guduchi), and Solanum nigrum (Kakmachi) was traditionally used in Ayurveda for the treatment of various liver related disorders. In the present study an attempt was made to validate the ethnopharmacological use of a traditional formulation in hepatoprotection against paracetamol induced hepatotoxicity. Swiss albino mice (weight 20-25 g) were used for this study. Intraperitoneal injection (IP) of paracetamol (500 mg/kg body weight) was used to induce hepatotoxicity. Serum levels of Alanine transaminase (ALT), Aspartate Aminotransferase (AST), Bilirubin, Alkaline phosphatase (ALP),. were used as indices of liver injury. In addition total cholesterol, triglyceride, Low density lipoprotein (LDL), High density lipoprotein (HDL) and creatinine were also assayed using standard procedure. Among the two different doses, pre-treatment with Polyherbal extract at 500 mg/kg body weight exhibited a significant (P < 0.05) hepatoprotective activity as compared to paracetamol group. The polyherbal extract exhibits significant hepatoprotective effect in vivo. The study contributes to its use in traditional Ayurveda system for the management of liver diseases.

Operational efficiency of an immunization clinic attached to rural health training centre in delhi, India: a time and motion study.

Background. Obtaining baseline data about current patterns of work is important for assessing the effects of interventions designed to improve care delivery. Time and motion studies allow for the most accurate measurement of structured components. Therefore, the present study was conducted to study the operational efficiency of an immunization clinic in Delhi, India. Methods. An observational cross-sectional study was conducted at the immunization clinic of Rural Health Training Centre in Delhi, India, from January 2014 to March 2014. The study composed two stage evaluations, a passive observation and a time and motion study. Systemic random sampling method was used to select 863 mothers/caregivers attending the immunization clinic. Results. At the immunization clinic, the study participants spent 64.1% of their total time in waiting. For new cases, the mean time taken for initial registration and receiving postvaccination advice was found to be significantly longer than old cases. Delivering health care services took more time during Mondays and also during the first hour of the day. Conclusion. Results of this study will guide public health decision-makers at all government levels in planning and implementation of immunization programs in developing countries.

Psychosocial Determinants of Tobacco Use among School Going Adolescents in Delhi, India.

Background. Tobacco use is one of the major preventable causes of premature death and disease in the world. Many psychosocial factors were found to influence tobacco use. Therefore the present study was designed to determine the role of psychosocial factors associated with tobacco use among school going adolescents in Delhi, India. Methods. Cross-sectional study was conducted from February 2013 to September 2013 in four government schools in South district of Delhi, India. The questionnaire contains questions adapted from GYTS (Global Youth Tobacco Survey) to find the prevalence and pattern of tobacco use among adolescents. Data were analyzed using SPSS version 21. Results. The prevalence of ever and current tobacco use was found in 16.4% and 13.1%. Current smoking and current tobacco chewing were found in 10.2% and 9.4% students, respectively. The risk of current tobacco use was found to be higher among males (P value = 0.000) and in those who got higher pocket money (P value = 0.000). Psychosocial factors like lower general self-efficacy and maladjustments with peers, teachers, and schools were also found to be significant predictors of current tobacco use. Conclusion. The study has revealed higher prevalence of ever and current tobacco use among adolescent students in Delhi, India.

Forecasting malaria cases using climatic factors in delhi, India: a time series analysis.

Background. Malaria still remains a public health problem in developing countries and changing environmental and climatic factors pose the biggest challenge in fighting against the scourge of malaria. Therefore, the study was designed to forecast malaria cases using climatic factors as predictors in Delhi, India. Methods. The total number of monthly cases of malaria slide positives occurring from January 2006 to December 2013 was taken from the register maintained at the malaria clinic at Rural Health Training Centre (RHTC), Najafgarh, Delhi. Climatic data of monthly mean rainfall, relative humidity, and mean maximum temperature were taken from Regional Meteorological Centre, Delhi. Expert modeler of SPSS ver. 21 was used for analyzing the time series data. Results. Autoregressive integrated moving average, ARIMA (0,1,1) (0,1,0)(12), was the best fit model and it could explain 72.5% variability in the time series data. Rainfall (P value = 0.004) and relative humidity (P value = 0.001) were found to be significant predictors for malaria transmission in the study area. Seasonal adjusted factor (SAF) for malaria cases shows peak during the months of August and September. Conclusion. ARIMA models of time series analysis is a simple and reliable tool for producing reliable forecasts for malaria in Delhi, India.

Seasonality of tuberculosis in delhi, India: a time series analysis.

Background. It is highly cost effective to detect a seasonal trend in tuberculosis in order to optimize disease control and intervention. Although seasonal variation of tuberculosis has been reported from different parts of the world, no definite and consistent pattern has been observed. Therefore, the study was designed to find the seasonal variation of tuberculosis in Delhi, India. Methods. Retrospective record based study was undertaken in a Directly Observed Treatment Short course (DOTS) centre located in the south district of Delhi. Six-year data from January 2007 to December 2012 was analyzed. Expert modeler of SPSS ver. 21 software was used to fit the best suitable model for the time series data. Results. Autocorrelation function (ACF) and partial autocorrelation function (PACF) at lag 12 show significant peak suggesting seasonal component of the TB series. Seasonal adjusted factor (SAF) showed peak seasonal variation from March to May. Univariate model by expert modeler in the SPSS showed that Winter's multiplicative model could best predict the time series data with 69.8% variability. The forecast shows declining trend with seasonality. Conclusion. A seasonal pattern and declining trend with variable amplitudes of fluctuation were observed in the incidence of tuberculosis.

Doing meta-analysis in research: a systematic approach.

Meta-analysis is an objective, systematic review that employs statistical methods to combine and summarize the results of several studies. It is a quantitative synthesis of all the unbiased evidence, meant for summarizing large volume of data, establishing and determining the magnitude of an effect, and to increase power and precision of studies. The steps to performing a meta-analysis include making a hypothesis and defining the domain of research, defining inclusion/exclusion criteria, literature search, selecting the final set of studies, extracting data on variables of interest, coding procedures, calculating effect sizes and interpretations, selecting potential moderators and examine their relationships, report writing, and critical evaluation. Meta-analysis has several strengths as well as weaknesses.

Strengthening TB surveillance system in India: Way forward for improving estimates of TB incidence.

One of the key indicators used under India's TB control program is the DOTS case detection rate of new sputum smear positive TB whose estimates in India are based on incidence estimates derived from Styblo's rule. Styblo's rule was formulated in an era without well-established tuberculosis control program, effective tuberculosis drugs, and emergence of TB-HIV coinfection, so today it does not reflect the true incidence of TB. Considering various loopholes in different methods of measurement of incidence (prevalence surveys of disease/ infection, vital registration system and Styblo's rule), strengthening of existing surveillance system is the best tool to obtain correct estimates of tuberculosis incidence in India.

Study of Prevalence and Response to Needle Stick Injuries among Health Care Workers in a Tertiary Care Hospital in Delhi, India.

BACKGROUND: Because of the environment in which they work, many health care workers are at an increased risk of accidental needle stick injuries (NSI). OBJECTIVE: To study prevalence and response to needle stick injuries among health care workers. STUDY DESIGN: Cross-sectional study. SETTING: A tertiary care hospital in Delhi. PARTICIPANTS: 322 resident doctors, interns, nursing staff, nursing students, and technicians. STATISTICAL ANALYSIS: Proportions and Chi-square test. RESULTS: A large percentage (79.5%) of HCWs reported having had one or more NSIs in their career. The average number of NSIs ever was found to be 3.85 per HCW (range 0-20). 72 (22.4%) reported having received a NSI within the last month. More than half (50.4%) ascribed fatigue as a cause in their injury. Most of the injuries (34.0%) occurred during recapping. In response to their most recent NSI, 60.9% washed the site of injury with water and soap while 38 (14.8%) did nothing. Only 20 (7.8%) of the HCWs took post-exposure prophylaxis (PEP) against HIV/AIDS after their injury. CONCLUSIONS: The occurrence of NSI was found to be quite common. Avoidable practices like recapping of needles were contributing to the injuries. Prevention of NSI is an integral part of prevention programs in the work place, and training of HCWs regarding safety practices indispensably needs to be an ongoing activity at a hospital.

Surveillance of hepatitis E virus in sewage and drinking water in a resettlement colony of Delhi: what has been the experience?

Hepatitis E virus infection is one of the major causes of hepatitis and has been responsible for many sporadic waterborne hepatitis epidemics. We studied 141 cases of viral hepatitis in the Gokulpuri area and collected the tap water, sewage water and serum samples from the individual cases of hepatitis in the community. Samples were analysed for the presence of hepatitis E virus (HEV) by RT-PCR, followed by sequencing. Forty-one out of 141 (29.08%) cases of viral hepatitis had evidence of HEV infection, detected by serology and/or RT-PCR. Six out of 141 (4.25%) sewage samples and 2 out of 141 (1.42%) drinking water samples were found to be positive for HEV RNA. The HEV isolates belonged to genotype 1. Evidence of HEV infection in sewage and drinking water samples indicates contamination of drinking water with sewage; good sanitary practice still remains a subject of alarm in the subcontinent.